/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
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package org.apache.spark.sql.execution.datasources.v2.jdbc

import org.apache.spark.sql.connector.catalog.{Identifier, Table, TableCapability}
import org.apache.spark.sql.connector.catalog.TableCapability.BATCH_READ
import org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions
import org.apache.spark.sql.types.StructType

// TODO (SPARK-32396): Implement the `SupportsRead` interface
// TODO (SPARK-32410): Implement the `SupportsWrite` interface
case class JDBCTable(ident: Identifier, schema: StructType, jdbcOptions: JDBCOptions)
  extends Table {
  assert(ident.namespace().length == 1)

  override def name(): String = ident.toString

  override def capabilities(): java.util.Set[TableCapability] = {
    val capabilities = new java.util.HashSet[TableCapability]
    capabilities.add(BATCH_READ)
    capabilities
  }
}
